HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of ggdist and survivoR — release velocity, themes, recent moves, and the top alternatives to consider.
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
ggdist supplies ggplot2 with a compositional vocabulary for distributions — slabs, intervals, dotplots and the sub-geometries that combine them. The last three years moved it from a drawing library to an estimation library: bounded density estimation with Sheather-Jones bandwidth became the default, weights propagate through every density, interval and point summary, and blurred dotplots render Monte Carlo standard error as visual fuzz. The 2025 release rounds this out with per-geometry thickness subscales and settable global defaults.
A Survivor data package that keeps turning a TV show into a relational database
survivoR ships Survivor franchise data as R data frames covering the US, Australian, UK and New Zealand versions. Recent releases track broadcast: US48, US49 and US50 arrived across 2.3.6, 2.3.9 and 2.3.12, alongside AU09, AU12 and Australia vs. The World. The 2.3.12 release also reworked castaway_scores into an explicit three-tier structure - standardised residual scores, probabilistic scores bounded on [0,1], and combined scores - and added advantage_timeline as a long-format view of advantage movement.
ggdist supplies ggplot2 with a compositional vocabulary for distributions — slabs, intervals, dotplots and the sub-geometries that combine them. The last three years moved it from a drawing library to an estimation library: bounded density estimation with Sheather-Jones bandwidth became the default, weights propagate through every density, interval and point summary, and blurred dotplots render Monte Carlo standard error as visual fuzz. The 2025 release rounds this out with per-geometry thickness subscales and settable global defaults.
Two threads run in parallel and keep converging. One is statistical: pluggable density estimators arrived first, then became the default, then gained weights and quantile histograms. The other is compositional: sub-geometries acquired their own guides, then their own scales, so a slab's thickness axis is now a first-class annotated dimension. Cadence has stretched from twice-yearly to roughly annual, with the recent work tightening existing surface rather than opening new.
Subguides gained subscales a release later, so the remaining asymmetry is in the sub-geometry system rather than the statistics; expect the next release to continue that fill-in work.
survivoR ships Survivor franchise data as R data frames covering the US, Australian, UK and New Zealand versions. Recent releases track broadcast: US48, US49 and US50 arrived across 2.3.6, 2.3.9 and 2.3.12, alongside AU09, AU12 and Australia vs. The World. The 2.3.12 release also reworked castaway_scores into an explicit three-tier structure - standardised residual scores, probabilistic scores bounded on [0,1], and combined scores - and added advantage_timeline as a long-format view of advantage movement.
The work is less about adding seasons than about making the tables join cleanly. 2.3.1 rebuilt challenge_description and challenge_results around a shared challenge_id, added challenge characteristic flags and result notes, and put logical finalist, winner and jury flags on castaways. Since then the pattern repeats at smaller scale: boot_order as its own table, season_name deprecated everywhere except season_summary, castaways cleaned so people booted twice appear once. Derived analytical columns are being separated from raw records rather than mixed into them.
Expect the next release to add the current season's data on the same broadcast-following cadence, with any structural work continuing to split derived scores out of the raw tables.
Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either ggdist or survivoR.
France's national flood statistics, ported out of Fortran and into R.
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
Fast design-based estimators for experiments, coasting on CRAN patches.
IP address vectors for R that hit 1.0 and then went quiet.
A column-key toolkit for stitching decades of ecological field data into one table.
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
See all ggdist alternatives → · See all survivoR alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. ggdist and survivoR are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggdist and survivoR are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top ggdist alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggdist alternatives" section above for the current picks, or visit /alternatives/ggdist for the full list with editorial commentary on each.
Top survivoR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "survivoR alternatives" section above for the current picks, or visit /alternatives/survivor for the full list with editorial commentary on each.